IEEE

Customized Design of Frequency-Selective Surfaces Using the Vector-Graph-Feature-Extraction Deep-Neural-Network (VGFE-DNN) Method

Abstract: In this communication, we propose the vector-graph-feature-extraction (VGFE) approach to accurately and concisely characterize details of electromagnetic metasurface (EM), and then train a ...
IEEE

Experimentation of vision algorithm performance using custom OpenCL™ vector language extensions for a graphical accelerator with vector architecture

Abstract: OpenCL is a standard that supports a parallel programming paradigm which enables heterogeneous multi-core systems and also offers a high level of portability for the application. Some of the ...
Scientific Research Publishing

Guillory, S.P. (2025) A Simulated Unified Resultant Amplitude Method for Multi-Dimensional/Multi-Variable Opposite Wave Summation. Journal of Applied Mathematics and Physics ...

ABSTRACT: Generalized robust systems-based theoretical kinematic inverse/regular wedge cam procedures which produce self-centering motion applicable to three-point clamping device design about ...
Frontiers

Cluster correction and graphical user interface for support vector regression lesion-symptom mapping

Voxel-based lesion-symptom mapping (VLSM) has become a commonly-used method for localizing cognitive function in the brain (Bates et al., 2003). The method relates performance on a behavioral measure ...
GitHub

Probabilistic-Graphical-Models /5.Approximate Inference

% FactorMarginalization Sums given variables out of a factor. % B = FactorMarginalization(A,V) computes the factor with the variables % in V summed out. The factor data structure has the following ...